![]() Here’s what’s important to understand about SQL: How AI can improve SQL performance tuning and why DBAs should implement it, plus what the future of AI-based SQL tuning looks like, particularly as demands from DevOps CI/CD and the cloud create an increased need for it. With AI, the time spent on tuning can be exponentially shortened, allowing for more focus to be put on items that add more value to the business. This proactive approach can make the lives of DBAs a whole lot easier. Automating SQL performance tuning with AI, on the other hand, accounts for changing database workload patterns and identifies opportunities to improve overall performance. ![]() ![]() SQL performance tuning, which 78% of database developers say they do manually, can take up large amounts of time 73% cited it as their biggest time commitment. Utilizing Artificial Intelligence (AI) for SQL tuning can help DBAs and developers reap the benefits of a true automated process. With multiple resource types across multiple hardware platforms, and add to this, trends like DevOps CI/CD automation and cloud adoption, the DBA’s job and the pressure on them to track SQL execution performance can be quite intensive. However, from a database systems management perspective, the DBA must pay close attention to overall workload resource usage, both in real-time and long-term. ![]() ![]() From the users’ perspective, this means faster execution times and quicker application response times. The database administrator (DBA) is typically tasked with making applications run more efficiently in order to meet service level agreements (SLAs) or just to ensure optimum user experience. ![]()
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